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时分辨动态光学相干断层扫描用于视网膜血流分析。

Time-Resolved Dynamic Optical Coherence Tomography for Retinal Blood Flow Analysis.

机构信息

Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland.

Institute of Molecular and Clinical Ophthalmology Basel (IOB), Basel, Basel, Switzerland.

出版信息

Invest Ophthalmol Vis Sci. 2024 Jun 3;65(6):9. doi: 10.1167/iovs.65.6.9.

DOI:10.1167/iovs.65.6.9
PMID:38837167
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11160951/
Abstract

PURPOSE

Optical coherence tomography (OCT) representations in clinical practice are static and do not allow for a dynamic visualization and quantification of blood flow. This study aims to present a method to analyze retinal blood flow dynamics using time-resolved structural OCT.

METHODS

We developed novel imaging protocols to acquire video-rate time-resolved OCT B-scans (1024 × 496 pixels, 10 degrees field of view) at four different sensor integration times (integration time of 44.8 µs at a nominal A-scan rate of 20 kHz, 22.4 µs at 40 kHz, 11.2 µs at 85 kHz, and 7.24 µs at 125 kHz). The vessel centers were manually annotated for each B-scan and surrounding subvolumes were extracted. We used a velocity model based on signal-to-noise ratio (SNR) drops due to fringe washout to calculate blood flow velocity profiles in vessels within five optic disc diameters of the optic disc rim.

RESULTS

Time-resolved dynamic structural OCT revealed pulsatile SNR changes in the analyzed vessels and allowed the calculation of potential blood flow velocities at all integration times. Fringe washout was stronger in acquisitions with longer integration times; however, the ratio of the average SNR to the peak SNR inside the vessel was similar across all integration times.

CONCLUSIONS

We demonstrated the feasibility of estimating blood flow profiles based on fringe washout analysis, showing pulsatile dynamics in vessels close to the optic nerve head using structural OCT. Time-resolved dynamic OCT has the potential to uncover valuable blood flow information in clinical settings.

摘要

目的

临床实践中的光学相干断层扫描（OCT）表现为静态，无法对血流进行动态可视化和量化。本研究旨在提出一种使用时分辨结构 OCT 分析视网膜血流动力学的方法。

方法

我们开发了新的成像方案，以在四个不同的传感器积分时间（44.8µs 的积分时间在标称 A 扫描率为 20kHz 时，22.4µs 在 40kHz 时，11.2µs 在 85kHz 时，7.24µs 在 125kHz 时）获取视频帧率的时分辨 OCT B 扫描（1024×496 像素，10°视野）。手动注释了每个 B 扫描的血管中心，并提取了周围的子体积。我们使用基于信噪比（SNR）下降的速度模型，由于条纹冲洗，来计算距视盘边缘五个视盘直径范围内血管内的血流速度分布。

结果

时分辨动态结构 OCT 揭示了分析血管中脉动 SNR 变化，并允许在所有积分时间计算潜在血流速度。具有较长积分时间的采集具有更强的条纹冲洗；然而，血管内平均 SNR 与峰值 SNR 的比值在所有积分时间内相似。

结论

我们证明了基于条纹冲洗分析估算血流分布的可行性，使用结构 OCT 显示视神经头附近血管的脉动动力学。时分辨动态 OCT 有可能在临床环境中揭示有价值的血流信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e12/11160951/3daf912152fe/iovs-65-6-9-f007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e12/11160951/bde424820757/iovs-65-6-9-f001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e12/11160951/eed455484d26/iovs-65-6-9-f002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e12/11160951/d68b1ba1d4e3/iovs-65-6-9-f003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e12/11160951/ac0834416502/iovs-65-6-9-f004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e12/11160951/2305eb3146d9/iovs-65-6-9-f005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e12/11160951/cd2a8da9282f/iovs-65-6-9-f006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e12/11160951/3daf912152fe/iovs-65-6-9-f007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e12/11160951/bde424820757/iovs-65-6-9-f001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e12/11160951/eed455484d26/iovs-65-6-9-f002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e12/11160951/d68b1ba1d4e3/iovs-65-6-9-f003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e12/11160951/ac0834416502/iovs-65-6-9-f004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e12/11160951/2305eb3146d9/iovs-65-6-9-f005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e12/11160951/cd2a8da9282f/iovs-65-6-9-f006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3e12/11160951/3daf912152fe/iovs-65-6-9-f007.jpg

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